eLife

A novel high-throughput single-cell DNA sequencing method reveals hidden genomic heterogeneity in the unicellular eukaryote Leishmania

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...
Wired

Instagram Will Start Letting You Pick What Shows Up in Your Reels

Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of ...
The Washington Post

Are you in TikTok’s cat niche? What 121,000 videos reveal.

You chose selected. Each dot here represents a single video about selected. While you’re on the app, TikTok tracks how you interact with videos. It monitors your watch time, the videos you like, the ...
Medscape

Novel Algorithm Transforms Echocardiographic Assessment of Heart Filling Pressures

A new algorithm for estimating left ventricular filling pressure (LVFP) by echocardiography reduced indeterminate results to just two cases compared with 38 using previous guidelines, achieving 86% ...
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
Scientific Research Publishing

Lin, J. and He, J. (2022) Parallel Random Forest Prediction Algorithm Based on PCA Stratified Sampling in the Big Data Environment. China Management Informationization, 25, 172 ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.
Frontiers

Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models

Introduction: Parkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets. Conclusion: Our findings suggest that, while PD is ...